ml_grid.model_classes.quadratic_discriminant_class

Defines the QuadraticDiscriminantAnalysis model class.

Classes

QuadraticDiscriminantAnalysisClass

Initializes the QuadraticDiscriminantAnalysisClass.

Module Contents

class ml_grid.model_classes.quadratic_discriminant_class.QuadraticDiscriminantAnalysisClass(X: pandas.DataFrame | None = None, y: pandas.Series | None = None, parameter_space_size: str | None = None)[source]

Initializes the QuadraticDiscriminantAnalysisClass.

Parameters:

  • X (Optional[pd.DataFrame]) – Feature matrix for training. Defaults to None.

  • y (Optional[pd.Series]) – Target vector for training. Defaults to None.

  • parameter_space_size (Optional[str]) – Size of the parameter space for optimization. Defaults to None.

Raises:

ValueError – If parameter_space_size is not a valid key (though current implementation does not explicitly raise this).

X: pandas.DataFrame | None = None[source]
y: pandas.Series | None = None[source]
algorithm_implementation: sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis[source]
method_name: str = 'QuadraticDiscriminantAnalysis'[source]
parameter_vector_space: ml_grid.util.param_space.ParamSpace[source]
parameter_space: Dict[str, Any][source]